Celli, N. L., Bean, C. J., & O'Brien, G. S. (2024). Full-waveform simulation of DAS records, response and cable-ground coupling, Geophysical Journal International, 236 (1), 659–674, https://doi.org/10.1093/gji/ggad449
Ciardo, F., & Rinaldi, A. P. (2022). Impact of injection rate ramp-up on nucleation and arrest of dynamic fault slip, Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 8 (1), 1-27. https://doi.org/10.1007/s40948-021-00336-4
Cousse J., McComas K., Lambert C., Balog-Way D., & Trutnevyte E. (2024). How beliefs about the underground and tampering with nature influence perceptions of Enhanced Geothermal Systems: A cross-national study. Risk Analysis (accepted)
Finger, C., & Löer, K. (2024). Depth of sudden velocity changes derived from multi-mode Rayleigh waves, Journal of Geophysical Research: Solid Earth, 129, e2023JB028322. https://doi.org/10.1029/2023JB028322
Finger, C., Roth, M. P., Dietl, M., Gotowik, A., Engels, N., Harrington, R. M., Knapmeyer-Endrun, B., Reicherter, K., Oswald, T., Reinsch, T., & Saenger E. H. (2023). The Weisweiler passive seismological network: optimised for state-of-the-art location and imaging methods, Earth System Science Data, 15, 6, 2655-2666. https://doi.org/10.5194/essd-15-2655-2023
Fiori, R., Vergne, J., Schmittbuhl, J., & Zigone D. (2023). Monitoring induced microseismicity in an urban context using very small seismic arrays: The case study of the Vendenheim EGS project, Geophysics, 88 (5): WB71–WB87. https://doi.org/10.1190/geo2022-0620.1
Kwiatek, G., Grigoratos, I., & Wiemer, S. (2024). Variability of Seismicity Rates and Maximum Magnitude for Adjacent Hydraulic Stimulations, ESS Open Archive. DOI: 10.22541/essoar.170960069.96037668/v1
Kwiatek, G., Grigoratos, I., & Wiemer, S. (2024). Variability of Seismicity Rates and Maximum Magnitude for Adjacent Hydraulic Stimulations. Seismological Research Letters; doi: https://doi.org/10.1785/0220240043
Lanza, F., Tuinstra, K. B., Rinaldi, A. P., Rodríguez Tribaldos, V., Hopp, C., Bethmann, F., Dyer, B., Meier, P., Serbeto, F., Hertrich, M., Giardini, D., & Wiemer (2024). Chapter 16: A Prospective Evaluation of Borehole DAS Technologies for Detecting and Locating out-of-network microseismicity, In Distributed Acoustic Sensing in Borehole Geophysics (eds. Y. Li, R. Mellors, G. Zhan) (accepted)
Mignan, A., Rinaldi, A. P., Lanza F., & Wiemer, S. (2024). A Multi-LASSO model to forecast induced seismicity at enhanced geothermal systems, Geoenergy Science and Engineering, 236, 212746. https://doi.org/10.1016/j.geoen.2024.212746.
Mohammadigheymasi, H., Shi, P., Tavakolizadeh, N., Xiao, Z., Mousavi, S.M., Matias, L., Pourvahab, M. and Fernandes, R., 2023. "IPIML: A Deep-Scan Earthquake Detection and Location Workflow Integrating Pair-Input Deep Learning Model and Migration Location Method," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-9, 2023, Art no. 5914109, doi: 10.1109/TGRS.2023.3293914.
Passarelli, L., Cesca, S., Nooshiri, N., & Jónsson, S. (2022). Earthquake fingerprint of an incipient subduction of a bathymetric high, Geophysical Research Letters, 49, e2022GL100326. https://doi.org/10.1029/2022GL100326
Porras, J., Pecci, D., Bocchini, G. M., Gaviano, S., De Solda, M., Tuinstra, K., Lanza, F., Tognarelli, A., Stucchi, E., & Grigoli, F. (2024). A semblance-based microseismic event detector for DAS data, Geophysical Journal International, 236 (3), 1716–1727. https://doi.org/10.1093/gji/ggae016
Ritz, V. A., Mizrahi, L., Clasen Repollés, V., Rinaldi, A. P., Hjörleifsdóttir, V., & Wiemer, S. (2024). Pseudo‐Prospective Forecasting of Induced and Natural Seismicity in the Hengill Geothermal Field. Journal of Geophysical Research: Solid Earth, 129(3). https://doi.org/10.1029/2023JB028402
Ritz, V.A., Rinaldi, A.P. & Wiemer, S. (2022). Transient evolution of the relative size distribution of earthquakes as a risk indicator for induced seismicity, Commununications Earth & Environment, 3, 249. https://doi.org/10.1038/s43247-022-00581-9
Schultz, R. (2024). Inferring maximum magnitudes from the ordered sequence of large earthquakes, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 382, 2276. https://doi.org/10.1098/rsta.2023.0185
Schultz, R., Muntendam-Bos, A., Zhou, W., Beroza, G. C., & Ellsworth, W.L. (2022). Induced seismicity red-light thresholds for enhanced geothermal prospects in the Netherlands. Geothermics, 106, 102580. https://doi.org/10.1016/j.geothermics.2022.102580
Shi, P., Grigoli, F., Lanza, F., Beroza, G. C., Scarabello, L., & Wiemer, S. (2022). MALMI: an automated earthquake detection and location workflow based on machine learning and waveform migration, Seismological Research Letters, 93 (5): 2467–2483. doi: https://doi.org/10.1785/0220220071
Shi, P., Meier, M-A., Villiger, L., Tuinstra, K.B., Selvadurai, P. A., Lanza, F., Yuan, S., Obermann, A., Mesimeri, M., Munchmeyer, J., Bianchi, P., & Wiemer, S. (2024). From labquakes to megathrusts: Scaling deep learning based pickers over 15 orders of magnitude, Journal of Geophysical Research - Machine Learning and Computation, 1, e2024JH000220. https://doi.org/10.1029/2024JH000220
Spampatti T., Brosch T., Trutnevyte E., & Hahnel U. (2024). A trust inoculation to protect public support of governmentally mandated actions to mitigate climate change, Journal of Experimental Social Psychology, 115, 104656.
Rodríguez Tribaldos, V., Hopp, C., Rinaldi, A. P., Tuinstra, K., Lanza, F., Ajo-Franklin, J., Kneafsey, T., Robertson, M., Guglielmi, Y., Zappone, A. (2024). Use of DAS and DSS Technologies for Geomechanical Characterisation of Rock Mass Response in Mesoscale Experiments in Underground Laboratories: Lessons Learned, In Distributed Acoustic Sensing in Borehole Geophysics (eds. Y. Li, R. Mellors, G. Zhan) (accepted)
Tuinstra, K., Grigoli, F., Lanza, F., Rinaldi, A.P., Fichtner, A., & Wiemer, S. (2024). Locating clustered seismicity using Distance Geometry Solvers: applications for sparse and single-borehole DAS networks, Geophysical Journal International, 238, 2, 661–680, https://doi.org/10.1093/gji/ggae168
Zhou, W., Lanza, F., Grigoratos, I., Schultz, R., Cousse, J., Trutnevyte, E., Muntendam-Bos, A., & Wiemer, S. (2024). Managing induced seismicity risks from enhanced geothermal systems: a good practice guideline, Review of Geophysics, Reviews of Geophysics, 62, e2024RG000849. https://doi.org/10.1029/2024RG000849
Lanza, F., Link, K., Wiemer, S., & Zingg, O. (2022). DEEP Projekt – Innovationen für die Minderung von Risiken bei tiefen Geothermieprojekten. Geothermische Energie, Nr 102, pp 8-11. https://www.geothermie.de/fileadmin/user_upload/Bibliothek/GTE/Geothermische.Energie.Nr.102.pdf
Celli, N. L., Bean, C. J., O’Brien, G.. (2024). Toolbox for full-waveform numerical simulation of DAS records. https://git.dias.ie/seismology/elm2d-das, https://doi.org/10.1093/gji/ggad449.
Finger, C., Harrington, R., & Reinsch, T. (2022). Seismological Characterization of the Geothermal Field Laboratory Rhineland. GFZ Data Services. Other/Seismic Network. doi:10.14470/MO7576467356.
Finger, C. & Löer, K. B3AMpy: Beamforming Toolbox for three-component ambient seismic noise, http://dx.doi.org/10.24406/fordatis/306
Finger, C. Synthetic ambient seismic noise dataset for testing ambient-noise methods. http://dx.doi.org/10.24406/fordatis/302
Finger, C., Niemz, P., Ermert, L., & Lanza, F. (2024). Utah FORGE: Composite 3D Seismic Velocity Model. United States. https://dx.doi.org/10.15121/2305384. https://gdr.openei.org/submissions/1585.
Fryer, B., Lebihain, M., & Violay, M. (2022). Data Set: Single-well pore pressure preconditioning for Enhanced Geothermal System stimulation [Data set]. In Journal of Geophysical Research: Solid Earth. Zenodo. https://doi.org/10.5281/zenodo.7492868
Ritz, V. A. (2022). Husmuli Injection and Seismicity Data 2015-2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7041552
All publications available from DEEP can be found here (Zenodo).